
Senior Data Scientist
1 week ago
AI engineers play a vital role in driving proactive operations and reducing mean time to resolution (MTTR) through intelligent automation. We are seeking a highly skilled and motivated AI/ML Engineer to leverage artificial intelligence and machine learning to enhance observability, automate incident detection and resolution, and optimize IT operations.
Key Responsibilities:
- Design, develop, and deploy AI/ML models to detect anomalies, predict incidents, and automate root cause analysis in IT systems.
- Integrate AIOps solutions with monitoring tools, such as Splunk, Datadog, Prometheus, and AppDynamics.
- Collaborate with SREs, DevOps, and IT teams to understand operational pain points and identify automation opportunities.
- Build and maintain data pipelines to collect and process logs, metrics, and events from various sources.
- Implement NLP techniques for log analysis and intelligent alert correlation.
- Continuously evaluate model performance and retrain models as needed.
- Contribute to the development of dashboards and visualizations for operational insights.
Required Qualifications:
- Bachelor's or Master's degree in computer science, Data Science, or a related field.
- 3+ years of experience in AI/ML engineering, preferably in IT operations or DevOps environments.
- Strong programming skills in Python.
- Experience with implementing GenAi and AI Python SDKs.
- Experience with time-series analysis, anomaly detection, and predictive modeling.
- Familiarity with cloud platforms, such as AWS, Azure, or GCP, and containerized environments, like Docker, Kubernetes.
- Knowledge of ITSM and ITIL processes is a plus.
Preferred Qualifications:
- Experience with AIOps platforms Dynatrace.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Agentic AI project planning and implementation.
- Manipulating text embeddings for enhanced language processing.
- Familiarity with popular JavaScript UI frameworks, such as React, Angular.
- Demonstrable knowledge of debugging code.
Additional Information:
The ideal candidate will be able to design and implement scalable and efficient AI/ML solutions that meet the needs of our business. This role requires strong technical skills, excellent communication skills, and the ability to work collaboratively with cross-functional teams.
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